Generation of Linguistic Advices for Saving Energy: Architecture
Automatic generation of natural language is a challenging multidisciplinary research field. This paper presents some first results in the NATCONSUMERS European project. The goal of this project is the generation of natural language recommendations that are tailored to each specific consumer characteristics for promoting more sustainable behaviors of consumption.
Here, we present a multidisciplinary research that consists in merging a classical architecture for natural language generator systems, proposed in the field of Computational Linguistics, together with results of our previous research in the field of Computing with Perceptions. We present a general view of the architecture of the NATCONSUMERS natural language generator system and we include an example of implementation.
KeywordsLinguistic description of data Computing with perceptions Computing with words Fuzzy Logic
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